face detection and recognition using hidden markov models

1 2 3 4 5
a11 a22 a33 a44 a55
a12
a23 a34 a45
hair forehead nose moutheyes
W
HL
P
1 2 3 4 5 6 7 8 9 10
−2500
−2000
−1500
−1000
−500
0
500
1000
1 2 3 4 5 6 7 8 9 10
−1000
−800
−600
−400
−200
0
200
400
1 2 3 4 5 6 7 8 9 10
−1000
−500
0

500
1 2 3 4 5 6 7 8 9 10
−400
−300
−200
−100
0
100
200
300
1 2 3 4 5 6 7 8 9 10
−1200
−1000
−800
−600
−400
−200
0
200
Prototype HMM
Uniform Segmentation
Viterbi Segmentation
Initialize Parameters
Segmental K Means
Convergence
NO
YES
Initialized HMM
Initialized HMM
Estimated HMM

Algorithm
Forward Backward
Baum-Welch
Convergence
YES
NO
Frontal Face
Not Frontal Face
Blocks Extraction
Feature Extraction Viterbi Decision
Local Image
λ1
Computation
Probability
Probability
Computation
Probability
Computation
λ
λ
2
N
Extraction
Block
Feature
Extraction
Image
Test
Maximum
Selection

Model
Recognized